Power measurement in digital wireless communication systems through parametric spectral estimation

Power measurement in digital wireless communication systems often suffers from poor repeatability, usually accompanied by a low accuracy. To face the problem, the use of parametric spectral estimators is investigated in this paper. In particular, a new method is proposed, which first estimates the p...

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Bibliographic Details
Published inIEEE transactions on instrumentation and measurement Vol. 55; no. 4; pp. 1051 - 1058
Main Authors Angrisani, L., D'Apuzzo, M., Vadursi, M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2006
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Bandwidth
Channel power measurement
Density
Density measurement
Digital
Digital video broadcasting
digital video broadcasting-satellite (DVB-S)
Effectiveness
occupied bandwidth measurement
Performance analysis
performance spectrum analyzers
Power measurement
Power measurements
power-spectral-density (PSD) estimation
Repeatability
Reproducibility
Signal analysis
Spectra
Spectral analysis
Spread spectrum communication
spread-spectrum systems
Time measurement
universal mobile telecommunication system (UMTS)
vector signal analyzers (VSAs)
Wireless communication
Wireless communication systems
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Summary:Power measurement in digital wireless communication systems often suffers from poor repeatability, usually accompanied by a low accuracy. To face the problem, the use of parametric spectral estimators is investigated in this paper. In particular, a new method is proposed, which first estimates the power spectral density (PSD) of the analyzed signal through Burg's solution, and then evaluates the power by applying straightforward measurement algorithms to the estimated PSD. The results of a number of experiments, carried out on both laboratory and actual signals peculiar to digital wireless communication systems, assess the efficacy and reliability of the method. Moreover, a comparison of the achieved performance to that offered by an alternative measurement solution, already proposed by the authors and based on nonparametric PSD estimation, shows that the method allows for a significant reduction of measurement time, while exhibiting the same repeatability.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2006.876539